Mem0

What it does

Mem0 takes conversation data and user interactions from AI agents and apps, extracts and updates memories, and stores them so relevant context can be retrieved as users keep interacting. Developers add memory through an API with Python and Node.js SDKs, and a quickstart shows how to save and search a memory.

Teams use Mem0 to give agents long-term context across sessions, tools, and runs. A memory compression engine condenses chat history into compact memories to reduce tokens and latency. Graph memory with entity linking, user profiles, and memory consolidation are available on higher tiers, and an open-source version can run as a library or Docker stack on your own servers.

Mem0 is aimed at developers and enterprise teams building agent or app memory. The Free plan includes an allowance for the first 30 days, then usage-based billing with a monthly cap you set. Higher limits, SSO, audit logs, and SLA require a custom plan arranged through sales.

What it can do

• Extracts and updates memories from user interactions automatically
• Retrieves relevant memories as users interact with the agent
• Condenses chat history into compact memories to reduce tokens and latency
• Graph memory with entity linking on higher tiers
• User profiles and memory consolidation (Dream) on higher tiers
• Audit logs, SSO, and on-prem deployment on custom plans

Before you choose

• Free plan allowances differ depending on whether Mem0 model calls or your own LLM key are used
• Usage past your limits is billed by usage with a monthly cap you set, so budget before scaling
• Advanced features and enterprise controls such as SSO, audit logs, and on-prem deployment require a custom plan

Listed under

• Coding
• MCP and agent tools
• Sandboxes and infrastructure
• Agent infrastructure
• AI memory
• Developer tools
• LLM
• Open source
• Personalization

Get started

Create an account at the app login page, then follow the quickstart to save and search a memory.

1. Create an account at app.mem0.ai and obtain an API key
2. Install the Python or Node.js SDK and save and search a first memory using the quickstart
3. Connect memory to your agent or framework using the setup guide for your tool, such as Claude Code, LangChain, or CrewAI

The 30-day Mem0-provided model allowance is time-limited; after that, usage uses your own LLM key. Usage past limits is usage-based with a monthly cap you set. Custom plan pricing is not published on the pages.

Source: mem0.ai/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Mem0 - AI Memory Layer for your Agents & Apps | Persistent Context ↗mem0.ai
• AI Memory Pricing - LLM Memory Plans Starting Free | Mem0 ↗mem0.ai
• Build AI apps that remember - Mem0 ↗docs.mem0.ai

Company website

mem0.ai: product, pricing and policy pages

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.